【摘要】 前馈神经网络在时间序列预测中的应用已得到充分地认可,一些模型已经提出,例如多层感知器(MLP),误差反向传播(BP)和径向基函数(RBF)网络等等。相对于其他前馈神经网络,RBF网络学习速度快,函数逼近能力强,因而在时间序列预测方面具有很好的应用前景。更多还原

【Abstract】 The use of feed forward neural network for time series prediction is fully recognized and a number of models have been developed,for example,Multilayer Perceptron(MLP),Back Propagation(BP)and Radial Basis Function(RBF)network etc.The RBF network has shown a great promise in this sort of problems because of its faster learning capacity and better capability of approximation to underlying functions compared with other feed forward networks.更多还原